{"product_name":"CogNet AI-MT","company_name":"MedCognetics","product_url":"https://www.medcognetics.com/cognet-ai","company_url":"https://www.medcognetics.com","related_urls":["https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"],"product_code":"SW0404","summary":"CogNet AI-MT is an AI-driven platform developed by MedCognetics to assist radiologists in analyzing mammograms, flagging suspicious findings to optimize workflow and enhance diagnostic accuracy.","description":"CogNet AI-MT utilizes artificial intelligence to analyze screening mammograms, flagging exams suggestive of suspicious findings. Developed through global collaboration, it is trained on diverse datasets to support real-world medical imaging variations. The platform can be deployed on-premises, in the cloud, or via the web, and is FDA 510(k) cleared for triage of mammogram images. It offers features like suspicious lesion indication, study prioritization, filtering, and integrated workflow, aiming to improve efficiency and accuracy in breast cancer detection.","categories":["clinical Care","diagnostic Support","clinical Workflow Optimization","Clinical","Diagnostic","Workflow Optimization"],"market_segment":["enterprise","smb"],"target_users":["radiologists","imaging centers","clinicians"],"specialties":["Radiology","Mammography"],"regions_available":["United States","United Kingdom","Europe","Middle East","Asia","South America","Africa"],"languages_supported":["English"],"pricing_model":"subscription","pricing_details":"contact vendor","license":"commercial","company_offices":["United States"],"company_founding":"2020","deployment_model":["SaaS","on_prem","hybrid"],"os_platforms":["Web","iOS","Android","Windows","macOS","Linux"],"features":["AI-driven analysis of screening mammograms","Flagging of suspicious findings for worklist prioritization","Collaboration with global clinical leaders","Training on diverse patient datasets from multiple regions"],"optional_modules":[],"integrations":["Blackford Platform"],"data_standards":["FHIR","HL7 v2","DICOM","SNOMED","ICD-10"],"api_available":"unknown","system_requirements":"GPU-powered EC2 instances, scalable model training environments using SageMaker, ECS, or EKS","compliance":["HIPAA","GDPR","SOC 2","ISO 27001"],"certifications":["FDA 510(k)","CE/MDR","ONC","ISO 13485"],"security_features":["Encryption","RBAC","SSO/SAML","audit logs","2FA","DLP"],"privacy_features":["BAA available","consent mgmt","anonymization","data minimization"],"data_residency":"US/EU regions","customers":[],"user_reviews":[],"ratings":[],"support_channels":[],"training_options":[],"release_year":"","integration_partners":[],"id":"SW0404","slug":"cognet-ai-mt","type":"product","version":"1.0","last_updated":"2025-10-11","links_json":{"self":"https://www.healthaidb.com/software/cognet-ai-mt.json"}}